code: def __getitem__(self, n: int):
      return (
          torch.rand(1, 32640),
          16000,
          "sup",
          2,
          3,
          4,
      )
  
file_path: audio/test/torchaudio_unittest/example/emformer_rnnt/test_tedlium3_lightning.py
imports: from contextlib import contextmanager
  from functools import partial
  from unittest.mock import patch
  import torch
  from parameterized import parameterized
  from torchaudio._internal.module_utils import is_module_available
  from torchaudio_unittest.common_utils import skipIfNoModule, TorchaudioTestCase
  from .utils import MockCustomDataset, MockDataloader, MockSentencePieceProcessor
label_desc: Use image node_id 2 for calling the MockTEDLIUM obj's underlying member method code with example usage: obj.__getitem__(n) and returns: torch,  int,  str,  int,  int,  int